∴ikura

Yanni sings

When one is coming from Erlang, and sees an
artificial neural network diagram/topology,
one cannot help but
see the 1-to-1 mapping between the Erlang
concurrency model, and neural networks;
it’s almost eerie. With that, it would be
remiss not to have Erlang toss its hat into
the ring alongside Python and friends,
even though these other languages arguably
have dominance with this problem domain.

What is Yanni?

Yanni is an artificial neural network (ANN)
framework that leverages Erlang’s lightweight
processes, as these message-passing units map
beautifully to the structures of ANNs. Yanni
is an acronym for ‘yet-another neural-net
implementation.’

It’s the goal to think long-run with Yanni:
when used as a toy, Yanny may be a sluggish &
humdrum implementation compared to the myriad of
others out in the wild, but at scale, considering
Erlang’s multi-core support, Yanni could become
a viable solution for serious Machine Learning
(ML) number-crunching.

Getting started

Yanni can be used as a ‘deps’ dependency and
installed via rebar[3], or in other ways, like
including it via ERL_LIBS.

The public repo for Yanni is as follows:

https://bitbucket.org/nato/yanni

With that, you’ll have everything you need. If
you’d like to use the notp tool for très vite
code execution/testing, this deps can also be
installed, and Yanni will use it happily.